CN105496702A

CN105496702A - Surgical nursing dressing-changing device

Info

Publication number: CN105496702A
Application number: CN201610103985.XA
Authority: CN
Inventors: 滕艳玲
Original assignee: Individual
Current assignee: Individual
Priority date: 2016-02-25
Filing date: 2016-02-25
Publication date: 2016-04-20

Abstract

The invention discloses a dressing changing device for surgical nursing. The car body divides the space into four parts through the first partition, the second partition and the third partition. In the space on the right side, just below the introduction slot; the ultraviolet generating device is arranged at the lower end of the first partition, the storage battery is installed at the lower end of the third partition, and the front side of the vehicle body is provided with a first door panel, and the first door panel and the vehicle body pass through a joint Page connection, the first door panel is provided with a first handle, the armrest is located at the rightmost end of the car body, rollers are arranged under the car body, a second door panel is installed on the right end of the car body, and the second door panel is connected with the car body through a hinge. A second handle is arranged on the door panel, which solves the problems that the dressing changer cannot be sterilized in time and the wastes are discarded at random, and is convenient for nursing staff to use.

Description

A dressing changing device for surgical nursing

技术领域technical field

本发明属于外科护理用辅助装置，尤其涉及一种外科护理换药装置。The invention belongs to an auxiliary device for surgical nursing, in particular to a dressing changing device for surgical nursing.

背景技术Background technique

现有的用于外科护理的换药车没有消毒装置，外科换药器具放在换药车上暴露在空气中，很容易造成二次污染。并且换下的废弃物随便的丢弃在垃圾箱内，也很容易造成交叉污染。Existing dressing changing carts for surgical nursing do not have disinfection devices, and surgical dressing changing instruments are placed on the dressing changing carts and exposed to the air, which easily causes secondary pollution. And the replaced waste is casually discarded in the dustbin, which is also easy to cause cross-contamination.

发明内容Contents of the invention

本发明的目的在于提供一种外科护理换药装置，旨在解决换药器具不能及时消毒处理和换下废弃物随意丢弃的问题。The object of the present invention is to provide a dressing changing device for surgical nursing, aiming at solving the problems that the dressing changing device cannot be sterilized in time and the replacement waste is discarded at will.

本发明是这样实现的，一种外科护理换药装置，该外科护理换药装置包括：车体、第一隔板、第一门板、第一把手、第二隔板、导入槽、垃圾箱、扶手、滚轮、蓄电池、第三隔板、紫外线发生装置、第二门板、第二把手；The present invention is achieved in this way, a surgical nursing dressing changing device, the surgical nursing dressing changing device includes: a car body, a first partition, a first door panel, a first handle, a second partition, an introduction groove, a dustbin, and a handrail , rollers, battery, third partition, ultraviolet generating device, second door panel, second handle;

所述车体通过第一隔板、第二隔板、第三隔板将空间分为四部分，导入槽位于车体的右端上侧，垃圾箱自由放置在右侧空间，导入槽的正下方；紫外线发生装置设置在第一隔板下端，蓄电池安装在第三隔板下端，车体的前侧设置有第一门板，第一门板和车体通过合页连接，第一门板上设置有第一把手，扶手位于车体的最右端，车体下面设置有滚轮，车体右端面安装有第二门板，第二门板与车体通过合页连接，第二门板上设置有第二把手；第一门板内部安装有安全装置；The vehicle body divides the space into four parts by the first partition, the second partition and the third partition, the introduction tank is located on the upper right side of the vehicle body, and the garbage can is freely placed in the space on the right, directly below the introduction tank The ultraviolet generating device is arranged at the lower end of the first partition, and the storage battery is installed at the lower end of the third partition. The first handle, the armrest is located at the rightmost end of the car body, the car body is provided with rollers, the right end of the car body is equipped with a second door panel, the second door panel is connected with the car body through a hinge, and the second door panel is provided with a second handle; A safety device is installed inside the door panel;

所述紫外线发生装置包括：生物传感器、紫外线发生模块、消毒控制模块、微处理器、自动清洁装置、供电模块；The ultraviolet generating device includes: a biosensor, an ultraviolet generating module, a disinfection control module, a microprocessor, an automatic cleaning device, and a power supply module;

生物传感器与微处理器连接，用于对生物物质敏感并将其浓度转换为电信号；Biosensors are connected to microprocessors for sensitivity to biological substances and converting their concentrations into electrical signals;

紫外线发生模块与微处理器连接，在微处理器的控制下，用于产生紫外线实现紫外消毒；The ultraviolet generation module is connected with the microprocessor, and under the control of the microprocessor, it is used to generate ultraviolet rays to realize ultraviolet disinfection;

消毒控制模块与微处理器连接，在微处理器的控制下，用于实现消毒模式的开启；The disinfection control module is connected with the microprocessor, and is used to realize the opening of the disinfection mode under the control of the microprocessor;

微处理器，接收生物传感器的电信号后经过处理器的运算处理再一次将电信号还原回原来的浓度数据，并与处理器的内部的程序中存储的浓度阈值比较；接收到的生物物质的浓度低于用户设置的阈值；The microprocessor, after receiving the electrical signal of the biosensor, restores the electrical signal to the original concentration data again through the processor's calculation and processing, and compares it with the concentration threshold stored in the internal program of the processor; the received biological substance The concentration is below the threshold set by the user;

自动清洁装置与微处理器连接，用于根据用户的设定的时间间隔定时的清洁石英灯管；The automatic cleaning device is connected with the microprocessor, which is used to clean the quartz lamp regularly according to the time interval set by the user;

供电模块与微处理器连接，用于为供电模块提供稳定的电源；The power supply module is connected with the microprocessor to provide stable power for the power supply module;

所述的车体整体为不锈钢材质；The car body as a whole is made of stainless steel;

所述安全装置包括故障报警喇叭，GPRS通信组，散热盒和报警指示灯，消毒灯管和消毒液瓶，所述故障报警喇叭通过电性连接设置在GPRS通信组的下部左侧，所述消毒液瓶设置在消毒灯管的下部；所述散热盒通过电性连接设置在报警喇叭的右侧，所述散热盒具体采用散热翅片组成的排风扇；所述报警指示灯通过电性连接设置在散热盒的下部，所述报警指示灯具体采用LED红色报警灯；所述消毒灯管具体安装在消毒液瓶的上部，所述消毒灯管具体采用多个紫外线消毒灯管；GPRS通信组内设置FPGA模块和数字匹配滤波器；The safety device includes a fault alarm horn, a GPRS communication group, a cooling box and an alarm indicator light, a disinfection lamp tube and a disinfectant bottle. The fault alarm horn is electrically connected to the lower left side of the GPRS communication group. The liquid bottle is arranged at the bottom of the disinfection lamp tube; the heat dissipation box is arranged on the right side of the alarm horn through an electrical connection, and the heat dissipation box is specifically an exhaust fan composed of heat dissipation fins; the alarm indicator light is arranged on the right side of the alarm horn through an electrical connection The bottom of the cooling box, the alarm indicator light specifically adopts an LED red alarm light; the disinfection lamp tube is specifically installed on the top of the disinfectant bottle, and the disinfection lamp tube specifically adopts a plurality of ultraviolet disinfection lamp tubes; FPGA module and digital matched filter;

所述FPGA模块包括：The FPGA module includes:

用于获取被测端产生的电压差的第一取样电路单元；a first sampling circuit unit for obtaining the voltage difference generated by the terminal under test;

与第一取样电路单元连接，用于提高信噪比以减小噪声因素干扰的第一前置放大电路单元；Connected with the first sampling circuit unit, the first preamplification circuit unit used to improve the signal-to-noise ratio to reduce the interference of noise factors;

与第一前置放大电路单元连接，用于在工作电流降低到额定电流小于20％时把工作信号放大的第一自动增益控制电路单元；Connected with the first preamplifier circuit unit, the first automatic gain control circuit unit for amplifying the working signal when the working current is reduced to less than 20% of the rated current;

与第一自动增益控制电路单元连接，用于抑制采样信号中高次谐波的第一滤波电路单元；Connected with the first automatic gain control circuit unit, the first filter circuit unit used to suppress high-order harmonics in the sampling signal;

与第一滤波电路单元连接，用于对通过第一滤波电路单元滤波第一取样电路单元获取被测端产生的电压差进行暂存的第一采样保持单元；Connected to the first filter circuit unit, used for temporarily storing the first sample and hold unit for obtaining the voltage difference generated by the measured terminal through filtering the first sampling circuit unit by the first filter circuit unit;

与第一采样保持单元连接，用于把第一取样电路单元获取被测端产生电压差的模拟信号转换为数字信号的第一AD转换器单元；Connected with the first sampling and holding unit, the first AD converter unit used to convert the analog signal obtained by the first sampling circuit unit to the voltage difference generated by the tested terminal into a digital signal;

与第一AD转换器单元、第二AD转换器单元、过零脉冲单元连接，用于对第一AD转换器单元转换的数字信号和标准器二次侧取样电路的数字信号处理，进行采样分析，找出基波的幅值，然后根据除法公式求解得比差和相位差；根据过零脉冲，分时取样，并作为采样时标，得到差值与标准端的同相分量FPGA数字信号处理电路单元；It is connected with the first AD converter unit, the second AD converter unit, and the zero-crossing pulse unit, and is used for sampling and analyzing the digital signal converted by the first AD converter unit and the digital signal processing of the sampling circuit on the secondary side of the standard , find the amplitude of the fundamental wave, and then solve the ratio difference and phase difference according to the division formula; according to the zero-crossing pulse, time-sharing sampling, and as the sampling time scale, get the difference value and the in-phase component of the standard end FPGA digital signal processing circuit unit ;

用于获取标准端上信号的第二取样电路单元；A second sampling circuit unit for obtaining signals on the standard terminal;

与第二取样电路单元连接，用于提高信噪比以减小噪声因素干扰的第二前置放大电路单元；Connected with the second sampling circuit unit, the second preamplification circuit unit used to improve the signal-to-noise ratio to reduce noise factor interference;

与第二前置放大电路单元连接，用于在工作电流降低到额定电流小于20％时把工作信号放大的第二自动增益控制电路单元；Connected with the second preamplifier circuit unit, the second automatic gain control circuit unit used to amplify the working signal when the working current is reduced to less than 20% of the rated current;

与第二前置放大电路单元，用于通过全波整流电路实现交流和直流变换的交流/直流变换电路单元；and the second preamplifier circuit unit, an AC/DC conversion circuit unit for realizing AC and DC conversion through a full-wave rectification circuit;

与第二自动增益控制电路单元连接，用于抑制采样信号中高次谐波的第二滤波电路单元；Connected with the second automatic gain control circuit unit, the second filtering circuit unit used to suppress high-order harmonics in the sampling signal;

与第二滤波电路单元连接，用于形成波形标准的信号，输入FPGA作为0°触发信号的整形电路单元；Connected with the second filter circuit unit, used to form a waveform standard signal, input FPGA as the shaping circuit unit of the 0° trigger signal;

与整形电路单元连接，用于接收整形电路单元的波形信号，对信号进行过零脉冲处理的过零脉冲单元；A zero-crossing pulse unit connected to the shaping circuit unit for receiving the waveform signal of the shaping circuit unit and performing zero-crossing pulse processing on the signal;

与第二滤波电路单元连接，用于对第二滤波电路单元的信号进行暂存的第二采样保持单元；A second sample and hold unit connected to the second filter circuit unit for temporarily storing the signal of the second filter circuit unit;

与第二采样保持单元连接，用于把第二取样电路单元获取标准端上信号的模拟信号转换为数字信号的第二AD转换器单元；Connected with the second sampling and holding unit, it is used to convert the analog signal obtained by the second sampling circuit unit into the second AD converter unit of the signal on the standard terminal into a digital signal;

与第一自动增益控制电路单元、第二自动增益控制电路单元和交流/直流变换电路单元连接，用于对交流/直流变换电路单元整流后的直流信号和第一自动增益控制电路单元、第二自动增益控制电路单元工作信号放大进行显示的百分表单元。It is connected with the first automatic gain control circuit unit, the second automatic gain control circuit unit and the AC/DC conversion circuit unit, and is used to rectify the DC signal after the AC/DC conversion circuit unit and the first automatic gain control circuit unit, the second The automatic gain control circuit unit is a dial gauge unit that amplifies the working signal for display.

进一步，所述数字匹配滤波器包括：Further, the digital matched filter includes:

对所采集的每个采样值进行采样量化的A/D转换模块；An A/D conversion module that samples and quantifies each sampled value;

与所述A/D转换模块相连接，用于把采集数据同一个码片所进行的前后n次采样分开，获得I路和Q路的奇次和偶次序列数据，对获得的I路和Q路的奇次和偶次序列数据进行输出的串/并转换模块；Connected with the A/D conversion module, it is used to separate the front and rear n samples of the same chip of the collected data, obtain the odd and even sequence data of the I road and the Q road, and obtain the I road and the Q road A serial/parallel conversion module for outputting the odd and even sequence data of the Q channel;

与所述串/并转换模块相连接，用于接收所述串/并转换模块输出的I路和Q路的奇次和偶次序列数据，通过Golay序列相关器对所接收的I路和Q路的奇次和偶次序列数据进行数据匹配的匹配滤波模块；Connected with the serial/parallel conversion module, for receiving the odd and even sequence data of the I road and the Q road output by the serial/parallel conversion module, the received I road and Q road by the Golay sequence correlator A matched filter module for data matching of the odd and even sequence data of the channel;

与所述匹配滤波模块相连接，用于将所述匹配滤波模块输出的I路和Q路奇次和偶次序列数据恢复成原始I路和Q路数据序列，并对原始I路和Q路数据序列进行输出的并/串转换模块；Connected with the matched filter module, used to restore the I-way and Q-way odd and even-order sequence data output by the matched filter module to the original I-way and Q-way data sequence, and to restore the original I-way and Q-way data sequence Parallel/serial conversion module for data sequence output;

与所述并/串转换模块相连接，用于接收所述并/串转换模块输出的原始I路和Q路数据序列，对原始I路和Q路数据序列进行求平方和，并对原始I路和Q路数据序列求平方和的结果进行输出的求平方和模块；Connected with the parallel/serial conversion module, used to receive the original I-way and Q-way data sequences output by the parallel/serial conversion module, square and sum the original I-way and Q-way data sequences, and calculate the original I The result of summing the squares of road and Q road data sequence is carried out the square sum module of output;

与所述求平方和模块相连接，用于对所述求平方和模块输出的原始I路和Q路数据序列求平方和的结果进行峰值检测，实现主同步序列同步的相关检测模块；Be connected with described sum of squares module, be used for carrying out peak value detection to the original I road and Q road data sequence summing result of described square sum module output, realize the correlation detection module of main synchronous sequence synchronization;

所述匹配滤波模块中设置有多个子匹配滤波器，若进行n次数据采样，则需要将I路和Q路的每个码片采样值分别进入并联的2n个子匹配滤波器；Described matched filter module is provided with a plurality of sub-matched filters, if carry out n times of data sampling, each chip sampling value of I road and Q road needs to enter parallel 2n sub-matched filters respectively;

所述求平方和模块采用查表方法对原始I路和Q路数据序列求平方，采用例化四进制珠算加法器求和，运用超前进位链实现；Described square sum module adopts look-up table method to square original I road and Q road data sequence, adopts instantiation quaternary system abacus adder summation, utilizes advanced carry chain to realize;

所述求平方和模块中的四进制珠算加法器为异步串行珠算加法器，采用两个权值为5的高珠和5个权值为1的低珠结构，一个单元可表示十进制数范围为0-15，正好为一个四进制的数的表示范围，同时由于平方结果为24bit，采用例化语句复制6个四进制的全加器的加法单元，六个四进制加法单元采用超前进位链的方法进行级联；The quaternary abacus adder in the described square sum module is an asynchronous serial abacus adder, adopting two high bead structures with a weight of 5 and 5 low bead structures with a weight of 1, and one unit can represent a decimal number The range is 0-15, which is exactly the representation range of a quaternary number. At the same time, since the square result is 24bit, the addition unit of the 6 quaternary full adders is copied using the instantiation statement, and the six quaternary addition units are Cascading is carried out by adopting the method of advanced carry chain;

当所述串/并转换模块把同一个码片所进行的前后2次采样分开、对每个采样值进行4bit量化时，即把4bitI路和4bitQ路转换成并行的4bitI路奇数序列、4bitI路偶数序列、4bitQ路奇数序列及4bitQ路偶数序列，对四路序列分别进入匹配滤波模块进行相关运算，并将结果经并/串转换模块转换成12bit的I路序列和12bit的Q路序列；When the serial/parallel conversion module separates the front and rear 2 samples of the same chip and performs 4bit quantization on each sampling value, the 4bitI road and the 4bitQ road are converted into parallel 4bitI road odd sequence, 4bitI road For even sequence, 4bitQ odd sequence and 4bitQ even sequence, the four sequences enter the matched filter module for correlation calculation, and convert the result into 12bit I sequence and 12bit Q sequence through the parallel/serial conversion module;

所述子匹配滤波器的传递函数为：C_i是由分层序列u，v调制而成的，u是分层Golay序列u＝{1，1，1，1，1，1，-1，-1，1，-1，1，-1，1，-1，-1，1}，v＝{1，1，1，-1，-1，1，-1，-1，1，1，1，-1，1，-1，1，1}，C_16m+n＝u_nv_m；The transfer function of the sub-matched filter is: C _i is modulated by layered sequence u, v, u is layered Golay sequence u={1,1,1,1,1,1,-1,-1,1,-1,1,- 1, 1, -1, -1, 1}, v={1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1}, C _16m+n = u _n v _m ;

$H (z) = X (z) = C (z) = Σ_{t = 0}^{L_{u} L_{v} - 1} C_{t} z^{- t} = Σ_{t = 0}^{L_{u} L_{v} - 1} C_{16 m + n} z^{- (16 m + n)} = Σ_{t = 1}^{L_{v} - 1} u_{u} z^{- n} Σ_{t = 1}^{L_{v} - 1} v_{m} z^{- 16 m} = H (z_{u}) H (z_{v}),$ 根据分层的Golay序列对传递函数进行改进，则有： $h (z) = x (z) = C (z) = Σ_{t = 0}^{L_{u} L_{v} - 1} C_{t} z^{- t} = Σ_{t = 0}^{L_{u} L_{v} - 1} C_{16 m + no} z^{- (16 m + no)} = Σ_{t = 1}^{L_{v} - 1} u_{u} z^{- no} Σ_{t = 1}^{L_{v} - 1} v_{m} z^{- 16 m} = h (z_{u}) h (z_{v}),$ The transfer function is improved according to the layered Golay sequence, then:

H(z_u)＝[1+z^-8+z^-1(1-z^-8)][1+z^-4+z^-2(1-z^-4)]；H(z _u )＝[1+z ^-8 +z ^-1 (1-z ^-8 )][1+z ^-4 +z ^-2 (1-z ^-4 )];

H(z_v)＝(1+z^-1)[1-z^-6+z^-8+z^-14]+(1-z^-1)[z^-2-z^-4+z^-10+z^-12]；H(z _v )＝(1+z ^-1 )[1-z ^-6 +z ^-8 +z ^-14 ]+(1-z ^-1 )[z ^-2 -z ^-4 +z ^-10 +z ^-12 ];

所述相关检测模块采用冒泡比较法，即相邻时刻的相关值进行比较把较大值存入寄存器A，较大值的位置存入寄存器B，不断更新，直到出现相同值，检测位置是否相差码长周期，如果是，就再进行一次检测，连续两侧检测到就视为捕获成功；The correlation detection module adopts the bubble comparison method, that is, the correlation values at adjacent moments are compared and the larger value is stored in the register A, and the position of the larger value is stored in the register B, and is continuously updated until the same value occurs, whether the detection position is If there is a difference in the code length period, it will be detected again, and if it is detected on both sides continuously, it will be regarded as a successful capture;

所述匹配滤波模块主要由延时单元和乘加单元构成，延时单元采用D触发器实现，乘加单元采用普通乘加模块；所述匹配滤波模块实现对Golay序列捕获，序列通过输入进入匹配滤波器，进行移位乘加，并将结果输出，当有Golay序列通过匹配滤波器时，匹配滤波器输出最大值256。The matched filter module is mainly composed of a delay unit and a multiply-add unit, and the delay unit is realized by a D flip-flop, and the multiply-add unit adopts a common multiply-add module; the matched filter module realizes the capture of the Golay sequence, and the sequence enters the matching through input The filter performs shifting, multiplying and adding, and outputs the result. When a Golay sequence passes through the matched filter, the matched filter outputs a maximum value of 256.

进一步，所述微处理器的同步正交跳频信号盲源分离方法包括以下步骤：Further, the method for blind source separation of synchronous orthogonal frequency hopping signals of the microprocessor includes the following steps:

步骤一，利用含有M个阵元的阵列天线接收来自多个同步正交跳频电台的跳频信号，对每一路接收信号进行采样，得到采样后的M路离散时域混合信号 $\begin{matrix} {\tilde{x}}_{m} (k) (k = 1, 2, ....) & m = 1, 2, ..., M \end{matrix};$ Step 1: Use an array antenna containing M array elements to receive frequency hopping signals from multiple synchronous orthogonal frequency hopping stations, sample each received signal, and obtain M discrete time-domain mixed signals after sampling $\begin{matrix} {\tilde{x}}_{m} (k) (k = 1, 2, ....) & m = 1, 2, ..., m \end{matrix};$

步骤二，对M路离散时域混合信号进行重叠加窗短时傅里叶变换，得到M个混合信号的时频域矩阵其中P表示总的窗数，N_fft表示FFT变换长度；Step 2: Carry out overlapped and windowed short-time Fourier transform on M channels of discrete time-domain mixed signals to obtain time-frequency domain matrices of M mixed signals Where P represents the total number of windows, and N _fft represents the FFT transformation length;

步骤三，对步骤二中得到的跳频混合信号时频域矩阵进行预处理；Step 3, for the frequency-hopping mixed signal time-frequency domain matrix obtained in step 2 carry out preprocessing;

步骤四，利用聚类算法估计每一跳的跳变时刻以及各跳对应的归一化的混合矩阵列向量、跳频频率；Step 4, using a clustering algorithm to estimate the hopping time of each hop and the normalized mixing matrix column vector and frequency hopping frequency corresponding to each hop;

步骤五，根据步骤四估计得到的归一化混合矩阵列向量估计时频域跳频源信号；Step 5, estimating the time-frequency domain frequency hopping source signal according to the normalized mixing matrix column vector estimated in step 4;

步骤六，对不同跳频点之间的时频域跳频源信号进行拼接；Step 6, splicing the time-frequency domain frequency hopping source signals between different frequency hopping points;

步骤七，根据源信号时频域估计值，恢复时域跳频源信号。Step 7: Recover the time-domain frequency-hopping source signal according to the estimated time-frequency domain value of the source signal.

进一步，在步骤二中，(p，q)表示时频索引，具体的时频值为这里N_fft表示FFT变换的长度，p表示加窗次数，T_s表示采样间隔，f_s表示采样频率，C为整数，表示短时傅里叶变换加窗间隔的采样点数，C＜N_fft，且K_c＝N_fft/C为整数，也就是说采用的是重叠加窗的短时傅里叶变换。Further, in step 2, (p, q) represents the time-frequency index, and the specific time-frequency value is Here N _fft represents the length of FFT transformation, p represents the number of times of windowing, T _s represents the sampling interval, f _s represents the sampling frequency, C is an integer, representing the number of sampling points in the short-time Fourier transform windowing interval, C<N _fft , And K _c =N _fft /C is an integer, that is to say, short-time Fourier transform with overlapping and windowing is adopted.

进一步，在步骤三中，对跳频混合信号时频域矩阵进行预处理，具体包括如下两步：Further, in step three, the time-frequency domain matrix of the frequency-hopping mixed signal Perform preprocessing, specifically including the following two steps:

第一步，对进行去低能量预处理，即在每一采样时刻p，将幅值小于门限ε的值置0，得到门限ε的设定可根据接收信号的平均能量来确定；first step, yes Perform low-energy preprocessing, that is, at each sampling time p, the Set the value whose amplitude is smaller than the threshold ε to 0, and get The setting of the threshold ε can be determined according to the average energy of the received signal;

第二步，找出p时刻(p＝0，1，2，…P-1)非零的时频域数据，用表示，其中表示p时刻时频响应非0时对应的频率索引，对这些非零数据归一化预处理，得到预处理后的向量b(p，q)＝[b₁(p，q)，b₂(p，q)，…，b_M(p，q)]^T，其中The second step is to find out the non-zero time-frequency domain data at time p (p=0, 1, 2, ... P-1), use said, among them Indicates the time-frequency response at time p The corresponding frequency index when it is non-zero, normalize and preprocess these non-zero data, and obtain the preprocessed vector b(p, q)=[b ₁ (p, q), b ₂ (p, q),… , b _M (p, q)] ^T , where

进一步，在步骤四中，利用聚类算法估计每一跳的跳变时刻以及各跳对应的归一化的混合矩阵列向量、跳频频率时，包括以下步骤：Further, in step 4, when using the clustering algorithm to estimate the hopping moment of each hop and the normalized mixing matrix column vector and frequency hopping frequency corresponding to each hop, the following steps are included:

第一步，在p(p＝0，1，2，...P-1)时刻，对表示的频率值进行聚类，得到的聚类中心个数表示p时刻存在的载频个数，个聚类中心则表示载频的大小，分别用表示；The first step, at time p (p=0, 1, 2, ... P-1), for The frequency value indicated is clustered, and the number of cluster centers obtained Indicates the number of carrier frequencies existing at time p, A clustering center represents the size of the carrier frequency, which are respectively used express;

第二步，对每一采样时刻p(p＝0，1，2，...P-1)，利用聚类算法对进行聚类，同样可得到个聚类中心，用表示；In the second step, for each sampling time p (p=0, 1, 2, ... P-1), use the clustering algorithm to clustering, we can also get cluster center, with express;

第三步，对所有求均值并取整，得到源信号个数的估计即The third step, for all Calculate the mean and round to get an estimate of the number of source signals which is

$\overset{^^}{N N} = = r r o o u u n no d d ((\frac{11}{p p} {Σ Σ}_{p p = = 00}^{P P - - 11} {\overset{^^}{N N}}_{p p}));;$

第四步，找出均时刻，用p_h表示，对每一段连续取值的p_h求中值，用表示第l段相连p_h的中值，则表示第l个频率跳变时刻的估计；Step four, find out The mean time is represented by _ph , and the median value of _ph for each continuous value is calculated by _Indicates the median value of the connected pH of the l segment, then Indicates the estimation of the lth frequency hopping moment;

第五步，根据第二步中估计得到的以及第四步中估计得到的频率跳变时刻估计出每一跳对应的个混合矩阵列向量具体公式为：In the fifth step, according to the estimation obtained in the second step And estimate the frequency hopping time obtained in the fourth step to estimate the frequency corresponding to each hop mixing matrix column vector The specific formula is:

${\overset{^^}{a a}}_{n no} ((l l)) = = \{\begin{matrix} \frac{11}{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((11))} \cdot &Center Dot; {Σ Σ}_{p p = = 11,, p p &NotEqual; &NotEqual; {p p}_{h h}}^{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((11))} {b b}_{n no,, p p}^{00} & l l = = 11,, \\ \frac{11}{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l)) - - {\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l - - 11))} \cdot &Center Dot; {Σ Σ}_{p p = = {\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l - - 11)) + + 11,, p p &NotEqual; &NotEqual; {p p}_{h h}}^{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l))} {b b}_{n no,, p p}^{00} & l l > > 11,, \end{matrix} n no = = 11,, 22,, ... ...,, \overset{^^}{N N}$

这里 $\begin{matrix} {\hat{a}}_{n} (l) = {[{\hat{a}}_{n, 1} (l), {\hat{a}}_{n, 2} (i), ..., {\hat{a}}_{n, M} (i)]}^{T} & (n = 1, 2, ..., \hat{N}) \end{matrix}$ 表示第l跳对应的个混合矩阵列向量估计值；here $\begin{matrix} {\hat{a}}_{no} (l) = {[{\hat{a}}_{no, 1} (l), {\hat{a}}_{no, 2} (i), ..., {\hat{a}}_{no, m} (i)]}^{T} & (no = 1, 2, ..., \hat{N}) \end{matrix}$ Indicates the corresponding a mixing matrix column vector estimate;

第六步，估计每一跳对应的载频频率，用表示第l跳对应的个频率估计值，计算公式如下：The sixth step is to estimate the carrier frequency corresponding to each hop, using Indicates the corresponding A frequency estimate is calculated as follows:

${\overset{^^}{f f}}_{c c,, n no} ((l l)) = = \{\begin{matrix} \frac{11}{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((11))} \cdot &Center Dot; {Σ Σ}_{p p = = 11,, p p &NotEqual; &NotEqual; {p p}_{h h}}^{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((11))} {f f}_{o o}^{n no} ((p p)) & l l = = 11,, \\ \frac{11}{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l)) - - {\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l - - 11))} \cdot &Center Dot; {Σ Σ}_{p p = = {\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l - - 11)) + + 11,, p p &NotEqual; &NotEqual; {p p}_{h h}}^{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l))} {f f}_{o o}^{n no} & l l > > 1. 1. \end{matrix} n no = = 11,, 22,, ... ...,, \overset{^^}{N N} . .$

进一步，在步骤五中，根据步骤四中估计得到的归一化混合矩阵列向量估计时频域跳频源信号，具体步骤如下：Further, in step five, the time-frequency domain frequency hopping source signal is estimated according to the normalized mixing matrix column vector estimated in step four, and the specific steps are as follows:

第一步，对所有采样时刻索引p判断该时刻索引属于哪一跳，具体方法为：如果则表示时刻p属于第l跳；如果则表示时刻p属于第1跳；The first step is to judge which hop the index of this moment belongs to for all sampling time indexes p. The specific method is: if It means that time p belongs to the l-th hop; if It means that time p belongs to the first hop;

第二步，对第l(l＝1，2，…)跳的所有时刻p_l，估计该跳各跳频源信号的时频域数据，计算公式如下：The second step is to estimate the time-frequency domain data of each frequency hopping source signal of the l (l=1, 2, ...) hop at all moments p _l , and the calculation formula is as follows:

$\{\begin{matrix} {\overset{~ ~}{S S}}_{j j} (({p p}_{l l},, q q)) = = \frac{11}{| | | | {\overset{^^}{a a}}_{j j} ((l l)) | | {| |}^{22}} \cdot &Center Dot; {\overset{^^}{a a}}_{j j}^{H h} ((l l)) \times \times [\begin{matrix} {\overset{~ ~}{X x}}_{11} (({p p}_{l l},, q q)) \\ {\overset{~ ~}{X x}}_{22} (({p p}_{l l},, q q)) \\ . . \\ . . \\ . . \\ {\overset{~ ~}{X x}}_{M m} (({p p}_{l l},, q q)) \end{matrix}] \\ j j = = \underset{{j j}_{00} = = 11,, 22,, ... ...,, \overset{^^}{N N}}{arg arg max max} ((| | {[[{\overset{~ ~}{X x}}_{11} (({p p}_{l l},, q q)),, {\overset{~ ~}{X x}}_{22} (({p p}_{l l},, q q)),, ... ...,, {\overset{~ ~}{X x}}_{M m} (({p p}_{l l},, q q)),, ... ...,, {\overset{~ ~}{X x}}_{M m} (({p p}_{l l},, q q))]]}^{H h} \times \times {\overset{^^}{a a}}_{{j j}_{00}} ((l l)) | |)) \\ \begin{matrix} {\overset{~ ~}{S S}}_{m m} (({p p}_{l l},, q q)) = = 00 & m m = = 11,, 22,, ... ...,, M m,, m m &NotEqual; &NotEqual; j j \end{matrix} \\ q q = = 00,, 11,, 22,, ... ...,, {N N}_{f f f f t t} - - 11 \end{matrix}$

进一步，在步骤六中，对不同跳频点之间的时频域跳频源信号进行拼接，具体步骤如下：Further, in step six, the time-frequency domain frequency hopping source signals between different frequency hopping points are spliced, and the specific steps are as follows:

第一步，估计第l跳对应的个入射角度，用表示第l跳第n个源信号对应的入射角度，的计算公式如下：The first step is to estimate the corresponding angle of incidence, with Indicates the incident angle corresponding to the nth source signal of the lth hop, The calculation formula is as follows:

$\begin{matrix} {\overset{^^}{θ θ}}_{n no} ((l l)) = = \frac{11}{M m - - 11} {Σ Σ}_{m m = = 22}^{M m} {sin sin}^{- - 11} [[\frac{a a n no g g l l e e (({\overset{^^}{a a}}_{n no,, m m} ((l l)) / / {\overset{^^}{a a}}_{n no,, m m - - 11} ((l l)))) * * c c}{22 π π {\overset{^^}{f f}}_{c c,, n no} ((l l)) d d}]] & n no = = 11,, 22,, ... ...,, \overset{^^}{N N} \end{matrix}$

表示第l跳估计得到的第n个混合矩阵列向量的第m个元素，c表示光速，即v_c＝3×10⁸米/秒； Represents the nth mixing matrix column vector estimated by the lth hop The mth element of , c represents the speed of light, that is, v _c =3×10 ⁸ m/s;

第二步，判断第l(l＝2，3，...)跳估计的源信号与第一跳估计的源信号之间的对应关系，判断公式如下：The second step is to judge the corresponding relationship between the source signal estimated by the l (1=2, 3, ...) jump and the source signal estimated by the first jump, and the judgment formula is as follows:

${m m}_{n no}^{((l l))} = = \underset{m m}{arg arg min min} | | {\overset{^^}{θ θ}}_{m m}^{((l l))} - - {\overset{^^}{θ θ}}_{n no}^{((11))} | |,, n no = = 11,, 22,, ... ...,, \overset{^^}{N N}$

其中m_n ^(l)表示第l跳估计的第m_n ^(l)个信号与第一跳估计的第n个信号属于同一个源信号；Where m _n ^(l) means that the m _n ^(l) th signal estimated at the lth jump and the nth signal estimated at the first jump belong to the same source signal;

第三步，将不同跳频点估计到的属于同一个源信号的信号拼接在一起，作为最终的时频域源信号估计，用Y_n(p，q)表示第n个源信号在时频点(p，q)上的时频域估计值，p＝0，1，2，....，P，q＝0，1，2，...，N_fft-1，即In the third step, the signals belonging to the same source signal estimated at different frequency hopping points are spliced together as the final time-frequency domain source signal estimation, and Y _n (p, q) represents the nth source signal in time-frequency Time-frequency domain estimated value on point (p, q), p=0, 1, 2, ..., P, q = 0, 1, 2, ..., N _fft -1, namely

进一步，在步骤七中，根据源信号时频域估计值恢复时域跳频源信号时，具体步骤如下：Further, in step seven, when recovering the time-domain frequency-hopping source signal according to the time-frequency domain estimated value of the source signal, the specific steps are as follows:

第一步，对每一采样时刻p(p＝0，1，2，...)的频域数据Y_n(p，q)，q＝0，1，2，…，N_fft-1做N_fft点的IFFT变换，得到p采样时刻对应的时域跳频源信号，用y_n(p，q_t)(q_t＝0，1，2，…，N_fft-1)表示；In the first step, do the frequency domain data Y _n (p, q), q=0, 1, 2, ..., N _fft -1 at each sampling time p (p = 0, 1, 2, ...) The IFFT transformation of N _fft points obtains the time-domain frequency-hopping source signal corresponding to the p sampling moment, represented by y _n (p, q _t ) (q _t =0, 1, 2, ..., N _fft -1);

第二步，对上述所有时刻得到的时域跳频源信号y_n(p，q_t)进行合并处理，得到最终的时域跳频源信号估计，具体公式如下：The second step is to combine the time-domain frequency-hopping source signals y _n (p, q _t ) obtained at all the above moments to obtain the final time-domain frequency-hopping source signal estimation. The specific formula is as follows:

${s the s}_{n no} [[k k C C : : ((k k + + 11)) C C - - 11]] = = \{\begin{matrix} {Σ Σ}_{m m = = 00}^{k k} {y the y}_{n no} [[m m,, ((k k - - m m)) C C : : ((k k - - m m + + 11)) C C - - 11]] & k k < < {K K}_{c c} \\ {Σ Σ}_{m m = = k k - - {K K}_{c c} + + 11}^{k k} {y the y}_{n no} [[m m,, ((k k - - m m)) C C : : ((k k - - m m + + 11)) C C - - 11]] & k k &GreaterEqual; &Greater Equal; {K K}_{c c} \end{matrix} k k = = 00,, 11,, 22,, ... ...$

这里K_c＝N_fft/C，C为短时傅里叶变换加窗间隔的采样点数，N_fft为FFT变换的长度。Here K _c =N _fft /C, C is the number of sampling points of the short-time Fourier transform windowing interval, and N _fft is the length of the FFT transform.

本发明提供的外科护理换药装置附带有紫外线发生装置，可将外科换药用的医疗器具摆放到带有紫外线发生装置的腔室内，将普通的带有药瓶的药水等药物摆放到第一隔板的上面，护理人员将换下的废弃物通过导入槽投放到车体内的垃圾箱里，从而解决了换药器具不能及时消毒处理和换下废弃物随意丢弃的问题。本发明的数字匹配滤波器，A/D转换模块对所采集的每个采样值进行采样量化，串/并转换模块把采集数据同一个码片所进行的前后n次采样分开，获得I路和Q路的奇次和偶次序列数据，匹配滤波模块通过Golay序列相关器对所接收的I路和Q路的奇次和偶次序列数据进行数据匹配，并/串转换模块将匹配滤波模块输出的I路和Q路奇次和偶次序列数据恢复成原始I路和Q路数据序列，求平方和模块对原始I路和Q路数据序列进行求平方和，相关检测模块对求平方和模块输出的原始I路和Q路数据序列求平方和的结果进行峰值检测，实现主同步序列同步；匹配滤波模块减少了硬件资源的同时，提高了数据处理速度，能在通信系统小区搜索的时隙同步中迅速捕获同步序列，提高了相关检测的概率，较大程度地降低了虚警概率。本发明的同步正交跳频信号盲源分离方法，在不知道任何信道信息的条件下，仅根据接收到的多个跳频信号的混合信号，估计出跳频源信号，能在接收天线个数小于源信号个数的条件下，对多个跳频信号进行盲估计，仅仅利用了短时傅里叶变换，计算量小，容易实现，该方法在对跳频信号进行盲分离的同时，还能对部分参数进行估计，实用性强，具有较强的推广与应用价值。The surgical nursing dressing changing device provided by the present invention is equipped with an ultraviolet generating device, and the medical instruments for surgical dressing changing can be placed in the chamber with the ultraviolet generating device, and ordinary medicines such as medicines with medicine bottles can be placed in the chamber. On the top of the first partition, the nursing staff puts the replaced waste into the garbage bin in the car body through the introduction slot, thereby solving the problem that the dressing changing device cannot be sterilized in time and the replaced waste is discarded at will. In the digital matched filter of the present invention, the A/D conversion module samples and quantifies each sampled value collected, and the serial/parallel conversion module separates the n times of sampling before and after the same code chip of the collected data, and obtains 1 path and The odd and even sequence data of the Q path, the matched filter module performs data matching on the received odd and even sequence data of the I path and the Q path through the Golay sequence correlator, and the parallel/serial conversion module outputs the matched filter module The I-way and Q-way odd and even sequence data are restored to the original I-way and Q-way data sequences, and the square sum module performs square summing on the original I-way and Q-way data sequences, and the correlation detection module calculates the square sum module The results of the square sum of the original I-channel and Q-channel data sequences output are used for peak detection to realize the synchronization of the main synchronization sequence; while the matched filter module reduces hardware resources, it improves the data processing speed and can search in the time slot of the communication system cell The synchronization sequence is quickly captured during synchronization, which improves the probability of correlation detection and reduces the probability of false alarm to a large extent. The method for blind source separation of synchronous orthogonal frequency hopping signals of the present invention estimates the frequency hopping source signal only according to the received mixed signal of a plurality of frequency hopping signals without knowing any channel information, and can be used at the receiving antenna Under the condition that the number of frequency hopping signals is less than the number of source signals, the blind estimation of multiple frequency hopping signals only uses the short-time Fourier transform, which has a small amount of calculation and is easy to implement. This method performs blind separation of frequency hopping signals, It can also estimate some parameters, which has strong practicability and strong promotion and application value.

附图说明Description of drawings

图1是本发明实施例提供的外科护理换药装置结构主视图；Fig. 1 is the front view of the structure of the surgical nursing dressing changing device provided by the embodiment of the present invention;

图2是本发明实施例提供的外科护理换药装置结构右视图；Fig. 2 is a right view of the structure of the dressing changing device for surgical care provided by the embodiment of the present invention;

图中：1、车体；2、第一隔板；3、第一门板；4、第一把手；5、第二隔板；6、导入槽；7、垃圾箱；8、扶手；9、滚轮；10、蓄电池；11、第三隔板；12、紫外线发生装置；13、第二门板；14、第二把手。In the figure: 1. Car body; 2. The first partition; 3. The first door panel; 4. The first handle; ; 10, battery; 11, the third partition; 12, ultraviolet generating device; 13, the second door panel; 14, the second handle.

具体实施方式detailed description

为了使本发明的目的、技术方案及优点更加清楚明白，以下结合实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

下面结合附图及具体实施例对本发明的应用原理作进一步描述。The application principle of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

一种外科护理换药装置，其特征在于，该外科护理换药装置包括：车体1、第一隔板2、第一门板3、第一把手4、第二隔板5、导入槽6、垃圾箱7、扶手8、滚轮9、蓄电池10、第三隔板11、紫外线发生装置12、第二门板13、第二把手14；A surgical nursing dressing changing device, characterized in that the surgical nursing dressing changing device includes: a car body 1, a first partition 2, a first door panel 3, a first handle 4, a second partition 5, an introduction groove 6, garbage Box 7, handrail 8, roller 9, battery 10, third partition 11, ultraviolet light generating device 12, second door panel 13, second handle 14;

车体1通过第一隔板2、第二隔板5、第三隔板11将空间分为四部分，导入槽6位于车体1的右端上侧，垃圾箱7自由放置在右侧空间，导入槽6的正下方；紫外线发生装置12设置在第一隔板2下端，蓄电池10安装在第三隔板11下端，车体1的前侧设置有第一门板3，第一门板3和车体1通过合页连接，第一门板3上设置有第一把手4，扶手8位于车体1的最右端，车体1下面设置有滚轮9，车体1右端面安装有第二门板13，第二门板13与车体1通过合页连接，第二门板13上设置有第二把手14，3第一门板内部安装有安全装置。The car body 1 divides the space into four parts by the first partition plate 2, the second partition plate 5, and the third partition plate 11. The introduction groove 6 is located on the upper right side of the car body 1, and the dustbin 7 is freely placed in the space on the right side. Just below the introduction groove 6; the ultraviolet generating device 12 is arranged on the lower end of the first dividing plate 2, the storage battery 10 is installed on the lower end of the third dividing plate 11, and the front side of the car body 1 is provided with the first door panel 3, the first door panel 3 and the car body The body 1 is connected by a hinge, the first door panel 3 is provided with a first handle 4, the handrail 8 is located at the rightmost end of the vehicle body 1, a roller 9 is arranged below the vehicle body 1, and a second door panel 13 is installed on the right end of the vehicle body 1. The second door panel 13 is connected to the vehicle body 1 through a hinge, the second door panel 13 is provided with a second handle 14, and the inside of the first door panel 3 is equipped with a safety device.

供电模块与微处理器连接，用于为供电模块提供稳定的电源；所述安全装置包括故障报警喇叭，GPRS通信组，散热盒和报警指示灯，消毒灯管和消毒液瓶，所述故障报警喇叭通过电性连接设置在GPRS通信组的下部左侧，所述消毒液瓶设置在消毒灯管的下部；所述散热盒通过电性连接设置在报警喇叭的右侧，所述散热盒具体采用散热翅片组成的排风扇；所述报警指示灯通过电性连接设置在散热盒的下部，所述报警指示灯具体采用LED红色报警灯；所述消毒灯管具体安装在消毒液瓶的上部，所述消毒灯管具体采用多个紫外线消毒灯管；GPRS通信组内设置FPGA模块和数字匹配滤波器；The power supply module is connected with the microprocessor to provide a stable power supply for the power supply module; the safety device includes a fault alarm horn, a GPRS communication group, a cooling box and an alarm indicator light, a disinfection lamp tube and a disinfectant bottle, and the fault alarm The horn is arranged on the left side of the lower part of the GPRS communication group through an electrical connection, and the disinfectant bottle is arranged on the bottom of the disinfection lamp; An exhaust fan composed of radiating fins; the alarm indicator light is arranged on the bottom of the heat dissipation box through an electrical connection, and the alarm indicator light specifically adopts an LED red alarm light; the disinfection lamp tube is specifically installed on the top of the disinfectant bottle. The disinfection lamp tube specifically adopts multiple ultraviolet disinfection lamp tubes; an FPGA module and a digital matched filter are set in the GPRS communication group;

所述FPGA模块包括：The FPGA module includes:

所述的车体1整体为不锈钢材质。The car body 1 as a whole is made of stainless steel.

所述数字匹配滤波器包括：The digital matched filter includes:

所述求平方和模块中的四进制珠算加法器为异步串行珠算加法器，采用两个权值为5的高珠和5个权值为1的低珠结构，一个单元可表示十进制数范围为0-15，正好为一个四进制的数的表示范围，同时由于平方结果为24bit，采用例化语句复制6个四进制的全加器的加法单元，六个四进制加法单元采用超前进位链的方法进行级联；The quaternary abacus adder in the described square sum module is an asynchronous serial abacus adder, adopting two high bead structures with a weight of 5 and 5 low bead structures with a weight of 1, and one unit can represent a decimal number The range is 0-15, which is exactly the representation range of a quaternary number. At the same time, since the square result is 24bit, the addition unit of the 6 quaternary full adders is copied using the instantiation statement, and the six quaternary addition units are Cascading is carried out by adopting the advanced carry chain method;

所述微处理器的同步正交跳频信号盲源分离方法包括以下步骤：The method for blind source separation of synchronous orthogonal frequency hopping signals of the microprocessor comprises the following steps:

在步骤二中，(p，q)表示时频索引，具体的时频值为这里N_fft表示FFT变换的长度，p表示加窗次数，T_s表示采样间隔，f_s表示采样频率，C为整数，表示短时傅里叶变换加窗间隔的采样点数，C＜N_fft，且K_c＝N_fft/C为整数，也就是说采用的是重叠加窗的短时傅里叶变换。In step 2, (p, q) represents the time-frequency index, and the specific time-frequency value is Here N _fft represents the length of FFT transformation, p represents the number of times of windowing, T _s represents the sampling interval, f _s represents the sampling frequency, C is an integer, representing the number of sampling points in the short-time Fourier transform windowing interval, C<N _fft , And K _c =N _fft /C is an integer, that is to say, short-time Fourier transform with overlapping and windowing is adopted.

在步骤三中，对跳频混合信号时频域矩阵进行预处理，具体包括如下两步：In step three, the time-frequency domain matrix of the frequency-hopping mixed signal Perform preprocessing, specifically including the following two steps:

在步骤四中，利用聚类算法估计每一跳的跳变时刻以及各跳对应的归一化的混合矩阵列向量、跳频频率时，包括以下步骤：In step 4, when using the clustering algorithm to estimate the hopping time of each hop and the normalized mixing matrix column vector and frequency hopping frequency corresponding to each hop, the following steps are included:

第四步，找出的时刻，用p_h表示，对每一段连续取值的p_h求中值，用表示第l段相连p_h的中值，则表示第l个频率跳变时刻的估计；Step four, find out The moment of , expressed by _ph , calculates the median value of _ph for each continuous value, and uses _Indicates the median value of the connected pH of the l segment, then Indicates the estimation of the lth frequency hopping moment;

${\overset{^^}{a a}}_{n no} ((l l)) = = \{\begin{matrix} \frac{11}{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((11))} \cdot &Center Dot; {Σ Σ}_{p p = = 11,, p p &NotEqual; &NotEqual; {p p}_{h h}}^{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((11))} {b b}_{n no,, p p}^{00} & l l = = 11,, \\ \frac{11}{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l)) - - {\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l - - 11))} \cdot \cdot {Σ Σ}_{p p = = {\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l - - 11)) + + 11,, p p &NotEqual; &NotEqual; {p p}_{h h}}^{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l))} {b b}_{n no,, p p}^{00} & l l > > 11,, \end{matrix} n no = = 11,, 22,, ... ...,, \overset{^^}{N N}$

这里 $\begin{matrix} {\hat{a}}_{n} (l) = {[{\hat{a}}_{n, 1} (l), {\hat{a}}_{n, 2} (l), ..., {\hat{a}}_{n, M} (l)]}^{T} & (n = 1, 2, ..., \hat{N}) \end{matrix}$ 表示第l跳对应的个混合矩阵列向量估计值；here $\begin{matrix} {\hat{a}}_{no} (l) = {[{\hat{a}}_{no, 1} (l), {\hat{a}}_{no, 2} (l), ..., {\hat{a}}_{no, m} (l)]}^{T} & (no = 1, 2, ..., \hat{N}) \end{matrix}$ Indicates the corresponding a mixing matrix column vector estimate;

${\overset{^^}{f f}}_{c c,, n no} ((l l)) = = \{\begin{matrix} \frac{11}{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((11))} \cdot \cdot {Σ Σ}_{p p = = 11,, p p &NotEqual; &NotEqual; {p p}_{h h}}^{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((11))} {f f}_{o o}^{n no} ((p p)) & l l = = 11,, \\ \frac{11}{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l)) - - {\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l - - 11))} \cdot \cdot {Σ Σ}_{p p = = {\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l - - 11)) + + 11,, p p &NotEqual; &NotEqual; {p p}_{h h}}^{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l))} {f f}_{o o}^{n no} & l l > > 1. 1. \end{matrix} n no = = 11,, 22,, ... ...,, \overset{^^}{N N} . .$

在步骤五中，根据步骤四中估计得到的归一化混合矩阵列向量估计时频域跳频源信号，具体步骤如下：In step five, the time-frequency domain frequency hopping source signal is estimated according to the normalized mixing matrix column vector estimated in step four, and the specific steps are as follows:

第一步，对所有采样时刻索引p判断该时刻索引属于哪一跳，具体方法为：如果则表示时刻P属于第l跳；如果则表示时刻P属于第1跳；The first step is to judge which hop the index of this moment belongs to for all sampling time indexes p. The specific method is: if It means that time P belongs to the lth hop; if It means that time P belongs to the first hop;

$\{\begin{matrix} {\overset{~ ~}{S S}}_{j j} (({p p}_{l l},, q q)) = = \frac{11}{| | | | {\overset{^^}{a a}}_{j j} ((l l)) | | {| |}^{22}} \cdot \cdot {\overset{^^}{a a}}_{j j}^{H h} ((l l)) \times \times [\begin{matrix} {\overset{~ ~}{X x}}_{11} (({p p}_{l l},, q q)) \\ {\overset{~ ~}{X x}}_{22} (({p p}_{l l},, q q)) \\ . . \\ . . \\ . . \\ {\overset{~ ~}{X x}}_{M m} (({p p}_{l l},, q q)) \end{matrix}] \\ j j = = \underset{{j j}_{00} = = 11,, 22,, ... ...,, \overset{^^}{N N}}{arg arg max max} ((| | {[[{\overset{~ ~}{X x}}_{11} (({p p}_{l l},, q q)),, {\overset{~ ~}{X x}}_{22} (({p p}_{l l},, q q)),, ... ...,, {\overset{~ ~}{X x}}_{M m} (({p p}_{l l},, q q)),, ... ...,, {\overset{~ ~}{X x}}_{M m} (({p p}_{l l},, q q))]]}^{H h} \times \times {\overset{^^}{a a}}_{{j j}_{00}} ((l l)) | |)) \\ \begin{matrix} {\overset{~ ~}{S S}}_{m m} (({p p}_{l l},, q q)) = = 00 & m m = = 11,, 22,, ... ...,, M m,, m m &NotEqual; &NotEqual; j j \end{matrix} \\ q q = = 00,, 11,, 22,, ... ...,, {N N}_{f f f f t t} - - 11 \end{matrix} . .$

在步骤六中，对不同跳频点之间的时频域跳频源信号进行拼接，具体步骤如下：In step 6, the time-frequency domain frequency hopping source signals between different frequency hopping points are spliced, and the specific steps are as follows:

在步骤七中，根据源信号时频域估计值恢复时域跳频源信号时，具体步骤如下：In step seven, when recovering the time-domain frequency-hopping source signal according to the estimated time-frequency domain value of the source signal, the specific steps are as follows:

护理人员可将换药用的医疗器械放置到第一隔板2和第三隔板11之间的空腔内，内部通过紫外线发生装置12时刻给医疗器械做消毒处理，蓄电池10给紫外线发生装置12供给电能，护理人员将药水和袋装药物放置在第一隔板2上方，还可将换下的废弃物通过导入槽6投放到车体1内的垃圾箱7里，从而解决了换药器具不能及时消毒处理和换下废弃物随意丢弃的问题。Nursing personnel can place the medical equipment used for dressing change in the cavity between the first partition 2 and the third partition 11, and the inside will sterilize the medical equipment through the ultraviolet generating device 12 at all times, and the battery 10 will supply the ultraviolet generating device 12 supply electric energy, nurses place the liquid medicine and bagged medicine on the top of the first partition 2, and also put the replaced waste into the garbage bin 7 in the car body 1 through the introduction slot 6, thereby solving the problem of changing medicine. The utensils cannot be disinfected in time and the wastes are discarded at will.

以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention should be included in the protection of the present invention. within range.

Claims

1. A dressing changing device for surgical nursing, characterized in that, the dressing changing device for surgical nursing includes: car body, first partition, first door panel, first handle, second partition, lead-in groove, dustbin, handrail, Roller, battery, third partition, ultraviolet generating device, second door panel, second handle;

The vehicle body divides the space into four parts by the first partition, the second partition and the third partition, the introduction tank is located on the upper right side of the vehicle body, and the garbage can is freely placed in the space on the right, directly below the introduction tank The ultraviolet generating device is arranged at the lower end of the first partition, and the storage battery is installed at the lower end of the third partition. The first handle, the armrest is located at the rightmost end of the car body, the car body is provided with rollers, the right end of the car body is equipped with a second door panel, the second door panel is connected with the car body through a hinge, and the second door panel is provided with a second handle; A safety device is installed inside the door panel;

The ultraviolet generating device includes: a biosensor, an ultraviolet generating module, a disinfection control module, a microprocessor, an automatic cleaning device, and a power supply module;

Biosensors are connected to microprocessors for sensitivity to biological substances and converting their concentrations into electrical signals;

The ultraviolet generation module is connected with the microprocessor, and under the control of the microprocessor, it is used to generate ultraviolet rays to realize ultraviolet disinfection;

The disinfection control module is connected with the microprocessor, and is used to realize the opening of the disinfection mode under the control of the microprocessor;

The microprocessor, after receiving the electrical signal of the biosensor, restores the electrical signal to the original concentration data again through the processor's calculation and processing, and compares it with the concentration threshold stored in the internal program of the processor; the received biological substance The concentration is below the threshold set by the user;

The automatic cleaning device is connected with the microprocessor, which is used to clean the quartz lamp regularly according to the time interval set by the user;

The power supply module is connected with the microprocessor to provide stable power for the power supply module;

The car body as a whole is made of stainless steel;

The safety device includes a fault alarm horn, a GPRS communication group, a cooling box and an alarm indicator light, a disinfection lamp tube and a disinfectant bottle. The fault alarm horn is electrically connected to the lower left side of the GPRS communication group. The liquid bottle is arranged at the bottom of the disinfection lamp tube; the heat dissipation box is arranged on the right side of the alarm horn through an electrical connection, and the heat dissipation box is specifically an exhaust fan composed of heat dissipation fins; the alarm indicator light is arranged on the right side of the alarm horn through an electrical connection The bottom of the cooling box, the alarm indicator light specifically adopts an LED red alarm light; the disinfection lamp tube is specifically installed on the top of the disinfectant bottle, and the disinfection lamp tube specifically adopts a plurality of ultraviolet disinfection lamp tubes; FPGA module and digital matched filter;

The FPGA module includes:

a first sampling circuit unit for obtaining the voltage difference generated by the terminal under test;

Connected with the first sampling circuit unit, the first preamplification circuit unit used to improve the signal-to-noise ratio to reduce the interference of noise factors;

Connected with the first preamplifier circuit unit, the first automatic gain control circuit unit for amplifying the working signal when the working current is reduced to less than 20% of the rated current;

Connected with the first automatic gain control circuit unit, the first filter circuit unit used to suppress high-order harmonics in the sampling signal;

Connected to the first filter circuit unit, used for temporarily storing the first sample and hold unit for obtaining the voltage difference generated by the measured terminal through filtering the first sampling circuit unit by the first filter circuit unit;

Connected with the first sampling and holding unit, the first AD converter unit used to convert the analog signal obtained by the first sampling circuit unit to the voltage difference generated by the tested terminal into a digital signal;

It is connected with the first AD converter unit, the second AD converter unit, and the zero-crossing pulse unit, and is used for sampling and analyzing the digital signal converted by the first AD converter unit and the digital signal processing of the sampling circuit on the secondary side of the standard , find the amplitude of the fundamental wave, and then solve the ratio difference and phase difference according to the division formula; according to the zero-crossing pulse, time-sharing sampling, and as the sampling time scale, get the difference value and the in-phase component of the standard end FPGA digital signal processing circuit unit ;

A second sampling circuit unit for obtaining signals on the standard terminal;

Connected with the second sampling circuit unit, the second preamplification circuit unit used to improve the signal-to-noise ratio to reduce noise factor interference;

Connected with the second preamplifier circuit unit, the second automatic gain control circuit unit used to amplify the working signal when the working current is reduced to less than 20% of the rated current;

and the second preamplifier circuit unit, an AC/DC conversion circuit unit for realizing AC and DC conversion through a full-wave rectification circuit;

Connected with the second automatic gain control circuit unit, the second filtering circuit unit used to suppress high-order harmonics in the sampling signal;

Connected with the second filter circuit unit, used to form a waveform standard signal, input FPGA as the shaping circuit unit of the 0° trigger signal;

A zero-crossing pulse unit connected to the shaping circuit unit for receiving the waveform signal of the shaping circuit unit and performing zero-crossing pulse processing on the signal;

A second sample and hold unit connected to the second filter circuit unit for temporarily storing the signal of the second filter circuit unit;

Connected with the second sampling and holding unit, it is used to convert the analog signal obtained by the second sampling circuit unit into the second AD converter unit of the signal on the standard terminal into a digital signal;

It is connected with the first automatic gain control circuit unit, the second automatic gain control circuit unit and the AC/DC conversion circuit unit, and is used to rectify the DC signal after the AC/DC conversion circuit unit and the first automatic gain control circuit unit, the second The automatic gain control circuit unit is a dial gauge unit that amplifies the working signal for display.

2. Surgical care dressing changing device as claimed in claim 1, is characterized in that, described digital matched filter comprises:

An A/D conversion module that samples and quantifies each sampled value;

Connected with the A/D conversion module, it is used to separate the front and rear n samples of the same chip of the collected data, obtain the odd and even sequence data of the I road and the Q road, and obtain the I road and the Q road A serial/parallel conversion module for outputting the odd and even sequence data of the Q channel;

Connected with the serial/parallel conversion module, for receiving the odd and even sequence data of the I road and the Q road output by the serial/parallel conversion module, the received I road and Q road by the Golay sequence correlator A matched filter module for data matching of the odd and even sequence data of the channel;

Connected with the matched filter module, used to restore the I-way and Q-way odd and even-order sequence data output by the matched filter module to the original I-way and Q-way data sequence, and to restore the original I-way and Q-way data sequence Parallel/serial conversion module for data sequence output;

Connected with the parallel/serial conversion module, used to receive the original I-way and Q-way data sequences output by the parallel/serial conversion module, square and sum the original I-way and Q-way data sequences, and calculate the original I The result of summing the squares of road and Q road data sequence is carried out the square sum module of output;

Be connected with described sum of squares module, be used for carrying out peak value detection to the original I road and Q road data sequence summing result of described square sum module output, realize the correlation detection module of main synchronous sequence synchronization;

Described matched filter module is provided with a plurality of sub-matched filters, if carry out n times of data sampling, each chip sampling value of I road and Q road needs to enter parallel 2n sub-matched filters respectively;

Described square sum module adopts look-up table method to square original I road and Q road data sequence, adopts instantiation quaternary system abacus adder summation, utilizes advanced carry chain to realize;

The quaternary abacus adder in the described square sum module is an asynchronous serial abacus adder, adopting two high bead structures with a weight of 5 and 5 low bead structures with a weight of 1, and one unit can represent a decimal number The range is 0-15, which is exactly the representation range of a quaternary number. At the same time, since the square result is 24bit, the addition unit of the 6 quaternary full adders is copied using the instantiation statement, and the six quaternary addition units are Cascading is carried out by adopting the method of advanced carry chain;

When the serial/parallel conversion module separates the front and rear 2 samples of the same chip and performs 4bit quantization on each sampling value, the 4bitI road and the 4bitQ road are converted into parallel 4bitI road odd sequence, 4bitI road For even sequence, 4bitQ odd sequence and 4bitQ even sequence, the four sequences enter the matched filter module for correlation calculation, and convert the result into 12bit I sequence and 12bit Q sequence through the parallel/serial conversion module;

The transfer function of the sub-matched filter is:

h (z) = Σ_{i = 0}^{N - 1} h_{i} z^{- i} = Σ_{i = 0}^{N - 1} x_{N - 1 - i} Z^{- i} = x (z^{- 1}) Z^{- (N - 1)},

C _i is modulated by layered sequence u, v, u is layered Golay sequence u={1,1,1,1,1,1,-1,-1,1,-1,1,- 1, 1, -1, -1, 1}, v={1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1}, C _16m+n = u _n v _m ;

h (z) = x (z) = C (z) = Σ_{i = 0}^{L_{u} L_{v} - 1} C_{i} z^{- i} = Σ_{i = 0}^{L_{u} L_{v} - 1} C_{16 m + no} z^{- (16 m + no)} = Σ_{i = 1}^{L_{u} - 1} u_{no} z^{- no} Σ_{i = 1}^{L_{v} - 1} v_{m} z^{- 16 m} = h (z_{u}) h (z_{v}),

The transfer function is improved according to the layered Golay sequence, then:

H(z _u )＝[1+z ^-8 +z ^-1 (1-z ^-8 )][1+z ^-4 +z ^-2 (1-z ^-4 )];

H(z _v )＝(1+z ^-1 )[1-z ^-6 +z ^-8 +z ^-14 ]+(1-z ^-1 )[z ^-2 -z ^-4 +z ^-10 +z ^-12 ];

The correlation detection module adopts the bubble comparison method, that is, the correlation values at adjacent moments are compared and the larger value is stored in the register A, and the position of the larger value is stored in the register B, and is continuously updated until the same value occurs, whether the detection position is If there is a difference in the code length period, it will be detected again, and if it is detected on both sides continuously, it will be regarded as a successful capture;

The matched filter module is mainly composed of a delay unit and a multiply-add unit, and the delay unit is realized by a D flip-flop, and the multiply-add unit adopts a common multiply-add module; the matched filter module realizes the capture of the Golay sequence, and the sequence enters the matching through input The filter performs shifting, multiplying and adding, and outputs the result. When a Golay sequence passes through the matched filter, the matched filter outputs a maximum value of 256.

3. Surgical care dressing changing device as claimed in claim 1, is characterized in that, the synchronous orthogonal frequency hopping signal blind source separation method of described microprocessor comprises the following steps:

Step 1: Use an array antenna containing M array elements to receive frequency hopping signals from multiple synchronous orthogonal frequency hopping stations, sample each received signal, and obtain M discrete time-domain mixed signals after sampling

{\tilde{x}}_{m} (k), (k = 1, 2, ... .), m = 1, 2, ..., m;

Step 2: Carry out overlapped and windowed short-time Fourier transform on M channels of discrete time-domain mixed signals to obtain time-frequency domain matrices of M mixed signals

p=0, 1,..., P-1, q=0, 1,..., N _fft -1, wherein P represents the total number of windows, N _fft represents the FFT transformation length;

Step 3, for the frequency-hopping mixed signal time-frequency domain matrix obtained in step 2

carry out preprocessing;

Step 4, using a clustering algorithm to estimate the hopping time of each hop and the normalized mixing matrix column vector and frequency hopping frequency corresponding to each hop;

Step 5, estimating the time-frequency domain frequency hopping source signal according to the normalized mixing matrix column vector estimated in step 4;

Step 6, splicing the time-frequency domain frequency hopping source signals between different frequency hopping points;

Step 7: Recover the time-domain frequency-hopping source signal according to the estimated time-frequency domain value of the source signal.

4. Surgical care dressing changing device as claimed in claim 3, is characterized in that, in step 2, (p, q) represents time-frequency index, and concrete time-frequency value is Here N _fft represents the length of FFT transformation, p represents the number of times of windowing, T _s represents the sampling interval, f _s represents the sampling frequency, C is an integer, representing the number of sampling points in the short-time Fourier transform windowing interval, C<N _fft , And K _c =N _fft /C is an integer, that is to say, short-time Fourier transform with overlapping and windowing is adopted.

5. Surgical care dressing changing device as claimed in claim 3, is characterized in that, in step 3, to frequency hopping mixed signal time-frequency domain matrix Perform preprocessing, specifically including the following two steps:

first step, yes Perform low-energy preprocessing, that is, at each sampling time p, the Set the value whose amplitude is smaller than the threshold ε to 0, and get The setting of the threshold ε can be determined according to the average energy of the received signal;

The second step is to find out the non-zero time-frequency domain data at time p (p=0, 1, 2, ... P-1), use said, among them Indicates the time-frequency response at time p The corresponding frequency index when it is non-zero, normalize and preprocess these non-zero data, and obtain the preprocessed vector b(p, q)=[b ₁ (p, q), b ₂ (p, q),… , b _M (p, q)] ^T , where

6. surgical nursing dressing changing device as claimed in claim 3, is characterized in that, in step 4, utilizes the clustering algorithm to estimate the jump moment of each hop and the corresponding normalized mixing matrix column vector of each hop, When frequency hopping, the following steps are included:

The first step, at time p (p=0, 1, 2, ... P-1), for The frequency value indicated is clustered, and the number of cluster centers obtained Indicates the number of carrier frequencies existing at time p, A clustering center represents the size of the carrier frequency, which are respectively used express;

In the second step, for each sampling time p (p=0, 1, 2, ... P-1), use the clustering algorithm to clustering, we can also get cluster center, with express;

The third step, for all Calculate the mean and round to get an estimate of the number of source signals which is

\overset{^^}{N N} = = r r o o u u n no d d ((\frac{11}{p p} {Σ Σ}_{p p = = 00}^{P P - - 11} {\overset{^^}{N N}}_{p p}));;

Step four, find out The moment of , expressed by _ph , calculates the median value of _ph for each continuous value, and uses _Indicates the median value of the connected pH of the l segment, then Indicates the estimation of the lth frequency hopping moment;

In the fifth step, according to the estimation obtained in the second step And estimate the frequency hopping time obtained in the fourth step to estimate the frequency corresponding to each hop mixing matrix column vector The specific formula is:

{\overset{^^}{a a}}_{n no} ((l l)) = = \{\begin{matrix} \frac{11}{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((11))} \cdot &Center Dot; {Σ Σ}_{p p = = 11,, p p &NotEqual; &NotEqual; {p p}_{h h}}^{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((11))} {b b}_{n no,, p p}^{00} & l l = = 11,, \\ \frac{11}{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l)) - - {\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l - - 11))} \cdot &Center Dot; {Σ Σ}_{p p = = {\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l - - 11)) + + 11,, p p &NotEqual; &NotEqual; {p p}_{h h}}^{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l))} {b b}_{n no,, p p}^{00} & l l > > 11,, \end{matrix} n no = = 11,, 22,, ... ...,, \overset{^^}{N N}

here

{\hat{a}}_{no} (l) = {[{\hat{a}}_{no, 1} (l), {\hat{a}}_{no, 2} (l), ..., {\hat{a}}_{no, m} (l)]}^{T}, (no = 1, 2, ..., \hat{N})

Indicates the corresponding a mixing matrix column vector estimate;

The sixth step is to estimate the carrier frequency corresponding to each hop, using Indicates the corresponding A frequency estimate is calculated as follows:

{\overset{^^}{f f}}_{c c,, n no} ((l l)) = = \{\begin{matrix} \frac{11}{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((11))} \cdot &Center Dot; {Σ Σ}_{p p = = 11,, p p &NotEqual; &NotEqual; {p p}_{h h}}^{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((11))} {f f}_{o o}^{n no} ((p p)) & l l = = 11,, \\ \frac{11}{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l)) - - {\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l - - 11))} \cdot &Center Dot; {Σ Σ}_{p p = = {\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l - - 11)) + + 11,, p p &NotEqual; &NotEqual; {p p}_{h h}}^{{\overset{&OverBar; &OverBar;}{p p}}_{h h} ((l l))} {f f}_{o o}^{n no} ((p p)) & l l > > 11,, \end{matrix} n no = = 11,, 22,, ... ...,, \overset{^^}{N N} . .

7. Surgical nursing dressing changing device as claimed in claim 3, is characterized in that, in step 5, according to the normalized mixing matrix column vector estimation that obtains in step 4, time-frequency domain frequency hopping source signal is estimated, concrete steps are as follows :

The first step is to judge which hop the index of this moment belongs to for all sampling time indexes p. The specific method is: if It means that time p belongs to the l-th hop; if It means that time p belongs to the first hop;

The second step is to estimate the time-frequency domain data of each frequency hopping source signal of the l (l=1, 2, ...) hop at all moments p _l , and the calculation formula is as follows:

\{\begin{matrix} {\overset{~ ~}{S S}}_{j j} (({p p}_{l l},, q q)) = = \frac{11}{| | | | {\overset{^^}{a a}}_{j j} ((l l)) | | {| |}^{22}} \cdot &Center Dot; {\overset{^^}{a a}}_{j j}^{H h} ((l l)) \times \times [\begin{matrix} {\overset{~ ~}{X x}}_{11} (({p p}_{l l},, q q)) \\ {\overset{~ ~}{X x}}_{22} (({p p}_{l l},, q q)) \\ \cdot &Center Dot; \\ \cdot \cdot \\ \cdot \cdot \\ {\overset{~ ~}{X x}}_{M m} (({p p}_{l l},, q q)) \end{matrix}] \\ j j = = \underset{{j j}_{00} = = 11,, 22,, ... ...,, \overset{^^}{N N}}{arg arg max max} ((| | {[[{\overset{~ ~}{X x}}_{11} (({p p}_{l l},, q q)),, {\overset{~ ~}{X x}}_{22} (({p p}_{l l},, q q)),, ... ...,, {\overset{~ ~}{X x}}_{M m} (({p p}_{l l},, q q))]]}^{H h} \times \times {\overset{^^}{a a}}_{{j j}_{00}} ((l l)) | |)) \\ {\overset{~ ~}{S S}}_{m m} (({p p}_{l l},, q q)) = = 00,, m m = = 11,, 22,, ... ...,, M m,, m m &NotEqual; &NotEqual; j j \\ q q = = 00,, 11,, 22,, ... ...,, {N N}_{f f f f t t} - - 11 \end{matrix} . .

8. Surgical care dressing changing device as claimed in claim 3, is characterized in that, in step 6, the time-frequency domain frequency hopping source signal between different frequency hopping points is spliced, and concrete steps are as follows:

The first step is to estimate the corresponding angle of incidence, with Indicates the incident angle corresponding to the nth source signal of the lth hop, The calculation formula is as follows:

{\overset{^^}{θ θ}}_{n no} ((l l)) = = \frac{11}{M m - - 11} {Σ Σ}_{m m = = 22}^{M m} {sin sin}^{- - 11} [[\frac{a a n no g g l l e e (({\overset{^^}{a a}}_{n no,, m m} ((l l)) / / {\overset{^^}{a a}}_{n no,, m m - - 11} ((l l)))) * * c c}{22 π π {\overset{^^}{f f}}_{c c,, n no} ((l l)) d d}]],, n no = = 11,, 22,, ... ...,, \overset{^^}{N N}

Represents the nth mixing matrix column vector estimated by the lth hop The mth element of , c represents the speed of light, that is, v _c =3×10 ⁸ m/s;

The second step is to judge the corresponding relationship between the source signal estimated by the l (1=2, 3, ...) jump and the source signal estimated by the first jump, and the judgment formula is as follows:

{m m}_{n no}^{((l l))} = = \underset{m m}{argmin argmin} | | {\overset{^^}{θ θ}}_{m m}^{((l l))} - - {\overset{^^}{θ θ}}_{n no}^{((11))} | |,, n no = = 11,, 22,, ... ...,, \overset{^^}{N N}

Where m _n ^(l) means that the m _n ^(l) th signal estimated at the lth jump and the nth signal estimated at the first jump belong to the same source signal;

In the third step, the signals belonging to the same source signal estimated at different frequency hopping points are spliced together as the final time-frequency domain source signal estimation, and Y _n (p, q) represents the nth source signal in time-frequency Time-frequency domain estimated value on point (p, q), p=0, 1, 2, ..., P, q = 0, 1, 2, ..., N _fft -1, namely

9. Surgical care dressing changing device as claimed in claim 3, is characterized in that, in step 7, when recovering time-domain frequency-hopping source signal according to source signal time-frequency domain estimated value, concrete steps are as follows:

In the first step, do the frequency domain data Y _n (p, q), q=0, 1, 2, ..., N _fft -1 at each sampling time p (p = 0, 1, 2, ...) The IFFT transformation of N _fft points obtains the time-domain frequency-hopping source signal corresponding to the p sampling moment, represented by y _n (p, q _t ) (q _t =0, 1, 2, ..., N _fft -1);

The second step is to combine the time-domain frequency-hopping source signals y _n (p, q _t ) obtained at all the above moments to obtain the final time-domain frequency-hopping source signal estimation. The specific formula is as follows:

{s the s}_{n no} [[k k C C : : ((k k + + 11)) C C - - 11]] = = \{\begin{matrix} {Σ Σ}_{m m = = 00}^{k k} {y the y}_{n no} [[m m,, ((k k - - m m)) C C : : ((k k - - m m + + 11)) C C - - 11]] & k k < < {K K}_{c c} \\ {Σ Σ}_{m m = = k k - - {K K}_{c c} + + 11}^{k k} {y the y}_{n no} [[m m,, ((k k - - m m)) C C : : ((k k - - m m + + 11)) C C - - 11]] & k k &GreaterEqual; &Greater Equal; {K K}_{c c} \end{matrix},, k k = = 00,, 11,, 22,, ... ...

Here K _c =N _fft /C, C is the number of sampling points of the short-time Fourier transform windowing interval, and N _fft is the length of the FFT transform.